The brain network hub degeneration in Alzheimer’s disease  被引量:1

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作  者:Suhui Jin Jinhui Wang Yong He 

机构地区:[1]Institute for Brain Research and Rehabilitation,Guangzhou 510631,China [2]Guangdong Key Laboratory of Mental Health and Cognitive Science,Guangzhou 510631,China [3]Center for Studies of Psychological Application,South China Normal University,Guangzhou 510631,China [4]IDG/McGovern Institute for Brain Research,Beijing 100875,China [5]National Key Laboratory of Cognitive Neuroscience and Learning,Beijing 100875,China [6]Beijing Key Laboratory of Brain Imaging and Connectomics,Beijing Normal University,Beijing 100875,China

出  处:《Biophysics Reports》2024年第4期213-229,共17页生物物理学报(英文版)

基  金:supported by the National Natural Science Foundation of China(82021004 and 81922036);National Social Science Foundation of China(20&ZD296).

摘  要:Alzheimer’s disease(AD)has been conceptualized as a syndrome of brain network dysfunction.Recent imaging connectomics studies have provided unprecedented opportunities to map structural and functional brain networks in AD.By reviewing molecular,imaging,and computational modeling studies,we have shown that highly connected brain hubs are primarily distributed in the medial and lateral prefrontal,parietal,and temporal regions in healthy individuals and that the hubs are selectively and severely affected in AD as manifested by increased amyloid-beta deposition and regional atrophy,hypo-metabolism,and connectivity dysfunction.Furthermore,AD-related hub degeneration depends on the imaging modality with the most notable degeneration in the medial temporal hubs for morphological covariance networks,the prefrontal hubs for structural white matter networks,and in the medial parietal hubs for functional networks.Finally,the AD-related hub degeneration shows metabolic,molecular,and genetic correlates.Collectively,we conclude that the brain-network-hub-degeneration framework is promising to elucidate the biological mechanisms of network dysfunction in AD,which provides valuable information on potential diagnostic biomarkers and promising therapeutic targets for the disease.

关 键 词:Connectomics CENTRALITY MODULARITY Graph theory MRI DEMENTIA 

分 类 号:R749.16[医药卫生—神经病学与精神病学]

 

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